Affiliation:
1. Department of Radiology, University of Wisconsin-Madison, Madison, WI 53706, USA
2. Department of Neurosurgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53706, USA
3. Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA
4. Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
Abstract
Recent advances in artificial intelligence have greatly impacted the field of medical imaging and vastly improved the development of computational algorithms for data analysis. In the field of pediatric neuro-oncology, radiomics, the process of obtaining high-dimensional data from radiographic images, has been recently utilized in applications including survival prognostication, molecular classification, and tumor type classification. Similarly, radiogenomics, or the integration of radiomic and genomic data, has allowed for building comprehensive computational models to better understand disease etiology. While there exist excellent review articles on radiomics and radiogenomic pipelines and their applications in adult solid tumors, in this review article, we specifically review these computational approaches in the context of pediatric medulloblastoma tumors. Based on our systematic literature research via PubMed and Google Scholar, we provide a detailed summary of a total of 15 articles that have utilized radiomic and radiogenomic analysis for survival prognostication, tumor segmentation, and molecular subgroup classification in the context of pediatric medulloblastoma. Lastly, we shed light on the current challenges with the existing approaches as well as future directions and opportunities with using these computational radiomic and radiogenomic approaches for pediatric medulloblastoma tumors.
Funder
NIH awards
National Institute for Biomedical Imaging and Bioengineering
National Center for Research Resources
National Heart, Lung, and Blood Institute
VA Merit Review Award
DOD Prostate Cancer Idea Development Award
DOD Lung Cancer Investigator-Initiated Translational Research Award
DOD Peer Reviewed Cancer Research Program
National Institute of Diabetes and Digestive and Kidney Diseases
Ohio Third Frontier Technology Validation Fund; the Wallace H. Coulter Foundation Program
Department of Defense Peer Reviewed Cancer Research Program (PRCRP) Career Development Award
Dana Foundation David Mahoney Neuroimaging Program
The V Translational Cancer Research Foundation
America Brain Tumor Association
Departments of Radiology and Medical Physics, University of Wisconsin-Madison
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